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Bella, Y., Oulmane, A., & Mostefai, M. (2018). Industrial bearing fault detection using time-frequency analysis. Engineering Technology & Applied Science Research, 8(4), 3294-3299. Lien externe
Iliescu, L. E., Lakis, A. A., & Oulmane, A. (2016). Hypervelocity impact (HVI) signal analysis. European Journal of Engineering and Technology, 4(1), 66-93. Lien externe
Iliescu, L. E., Lakis, A. A., & Oulmane, A. (2016). Satellites-spacecraft materials and hypervelocity impact (HVI) testing: numerical simulations. European Journal of Mechanical Engineering Research, 3(3), 41-77. Lien externe
Lakis, A. A., & Oulmane, A. (2018). Nonuniform shell/flow vibration analysis for a nuclear plant. European Journal of Mathematics and Computer Science, 5(1), 93-145. Lien externe
Mahvash, A., Oulmane, A., & Lakis, A. A. (juin 2009). Development of an intelligent health monitoring system for rotating machinery and structural components [Communication écrite]. CANEUS Fly-by-Wireless Workshop (FBW 2009), Montréal, Québec. Non disponible
Oulmane, A., & Ross, A. (2020). Effects of material parameters on the transient dynamics of an impacted plate with partial constrained layer damping treatment. Journal of the Acoustical Society of America, 147(3), 1939-1952. Lien externe
Oulmane, A., Lakis, A. A., & Mureithi, N. W. (2016). Automatic fault diagnosis of rotating machinery. European Journal of Mechanical Engineering Research, 3(2), 19-41. Lien externe
Oulmane, A. (2014). Surveillance et diagnostic des défauts des machines tournantes dans le domaine temps-fréquences utilisant les réseaux de neurones et la logique floue [Thèse de doctorat, École Polytechnique de Montréal]. Disponible
Oulmane, A., Lakis, A. A., & Mureithi, N. W. (2014). Application of Fourier descriptors & artificial neural network to bearing vibration signals for fault detection & classification. Universal Journal of Aeronautical & Aerospace Sciences, 2, 37-54. Lien externe
Oulmane, A., Lakis, A. A., & Mureithi, N. W. (2013). A method for analyzing rotating machinery faults using time-frequency application. International Journal of Condition Monitoring and Diagnostic Engineering Management, 16(2), 21-34. Lien externe
Oulmane, A., Lakis, A. A., & Mureithi, N. W. (juillet 2012). Automatic classification of rotating machinery faults using Fourier descriptors and neural networks [Communication écrite]. 15th International Conference on Experimental Mechanics, Porto, Portugal. Non disponible
Oulmane, A., Lakis, A. A., & Mureithi, N. W. (2010). Monitoring of bearing PW100 #5 tested at National Research Center in Ottawa. (Rapport technique). Non disponible
Oulmane, A., Lakis, A. A., Mureithi, N. W., & Safizadeh, M. S. (juin 2009). The application of time-frequency analysis in rotating machinery fault diagnostic [Communication écrite]. 22nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2009), San Sebastian, Spain. Non disponible
Oulmane, A. (2007). Dynamique transitoire d'une plaque impactée, partiellement recouverte d'un traitement amortissant contraint [Mémoire de maîtrise, École Polytechnique de Montréal]. Disponible
Oulmane, A., Farah, É., & Ross, A. (mai 2005). Dynamic modeling of a viscoelastic sandwich [Communication écrite]. 20e Congrès canadien de mécanique appliquée, Montréal, Québec. Non disponible
Safizadeh, M. S., Lakis, A. A., & Oulmane, A. (juin 2008). Application of time-frequency analysis to signals from high speed bearing [Communication écrite]. 21st International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2008), Prague, Czech Republic. Non disponible
